期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2018
卷号：10
期号：3
出版社：International Center for Scientific Research and Studies
摘要：As there are increasing numbers of mobile subscriber and the market demands of reaching customer personally, Short Message Service (SMS) has become a target of unsolicited text message known as Spam that resulting waste in time, money, and privacy. Many text classification methods using traditional machine learning algorithm has been proposed to prevent spam. However, none of these solutions can guarantee 100% spam-proof solution as each filtering and modeling technique has their own weaknesses and strengths. The objective of this paper is to propose SMS spam classification using Vector Space Model (VSM) and Artificial Neural Network techniques on the publicly available SMS dataset. The result shows a significant improvement based on the accuracy which is 99.10%. This paper will contribute on practical applications and provide contribution to the body of knowledge.
关键词：SMS Spam Classification; Vector Space Model; Artificial Neural Network
